We first show the experimental results on ImageNet with ResNet-18 [1]} backbone in Tab. REF . We compare RBONN with BNN [2]}, XNOR-Net [3]}, Bi-Real Net [4]}, IR-Net [5]}, BONN[6]}, RBCN [7]}, and RBNN [8]}. We also report mult-bit DoReFa-Net [9]}, and TBN [10]} for further reference. RBONN outperforms all of the evaluated binary models in both Top-1 and Top-5 accuracy, as shown in Tab. REF . RBONN achieves 61.4% and 83.4% in Top-1 and Top-5 accuracy using ResNet-18, respectively, with 1.8% and 1.9% increases over state-of-the-art RBNN. In this paper, we use memory usage and OPs following [4]} in comparison to other tasks for further reference. We also analyze the inference speed on hardware in Sec. REF .
